Vincent Taschereau-Dumouchel

Affiliate Member

Assistant Professor, Université de Montréal, Department of Psychology

Université de Montréal

Research Topics

Brain-computer Interfaces

Cognition

Cognitive Science

Computational Neuroscience

Consciousness

Language Model

NeuroAI

Neuroimaging (fMRI)

Phenomenological Consciousness

Website

Google Scholar

Biography

Vincent Taschereau-Dumouchel is a neuropsychologist working at the intersection of cognitive neuroscience, mental health, and artificial intelligence.

Based in the Department of Psychology at the Université de Montréal, his research combines AI and cognitive neuroscience to deepen our understanding of mental disorders and improve their treatment. His laboratory focuses particularly on conscious pathological experiences that underlie conditions such as fear and anxiety disorders.

His team specializes in developing closed-loop brain imaging systems that integrate real-time neuroimaging with machine learning. He currently leads projects funded by NSERC (Discovery Grant) to create co-adaptive systems using generative AI to modulate brain activity and subjective experience. He also leads projects to better study the subjective experience of delusion, fear and anxiety using large language models and intensive fMRI (notably funded by Beneva).

In parallel, Dr. Taschereau-Dumouchel serves as Director of the Data Valorisation axis of the Quebec Mental Health Alliance, an initiative uniting the three main FRQ-affiliated psychiatric research centers (CR-IUSMM, Douglas, and Cervo). They are currently leading efforts to federate clinical data across institutions and to develop accessible AI tools for researchers and clinicians.

Publications

A French Canadian adaptation and validation of the Vividness of Visual Imagery Questionnaire and Plymouth Sensory Imagery Questionnaire.

Catherine Landry

Laurence Lessard

Jeffrey Saint-Louis

Frédéric Gosselin

Ian Charest

Vincent Taschereau-Dumouchel

Guillaume T. Vallet

Mental imagery plays a central role in various cognitive processes and is increasingly investigated in cognitive science. Yet standardized t… (see more)ools for its assessment in French-speaking populations remain scarce. This study examined the psychometric properties of two widely used self-report instruments of mental imagery within the French Canadian population: the Vividness of Visual Imagery Questionnaire (VVIQ) and the Plymouth Sensory Imagery Questionnaire (Psi-Q)-here termed VVIQ-Québec (QC) and Psiq-QC. A total of 328 adults completed the VVIQ-QC and Psiq-QC, with a randomly selected subsample (n = 73) repeating the assessment 1 month later. Exploratory factor analysis of the VVIQ-QC (eyes-open) revealed, as in the original VVIQ, distinct factors corresponding to each prompt cluster (i.e., relative, sunrise, landscape, and storefront). The Psiq-QC yielded a six-factor solution after excluding the Body modality, diverging from the original seven-factor model. Both instruments showed strong internal consistency, temporal stability, and convergent validity. No significant effects of age, sex, or education were observed on imagery scores. These findings provide the first validated French Canadian versions of the VVIQ and Psi-Q, available via the Open Science Framework at https://osf.io/wuhja, offering reliable tools for both research and clinical applications. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

2025-12-14

Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale (published)

doi.org

Are vividness judgments in mental imagery correlated with perceptual thresholds?

Ian Charest

Clémence Bertrand Pilon

Hugo Delhaye

Vincent Taschereau-Dumouchel

Frédéric Gosselin

2023-08-01

Journal of Vision (published)

doi.org